Application of phase-only filter on electronic nose data

Karl Solvi Gudmundsson; Abdul A. S. Awwal; Ricardo Gutierrez-Osuna

doi:10.1117/12.510833

12 December 2003 Application of phase-only filter on electronic nose data

Karl Solvi Gudmundsson, Abdul A. S. Awwal, Ricardo Gutierrez-Osuna

Proceedings Volume 5201, Photonic Devices and Algorithms for Computing V; (2003) https://doi.org/10.1117/12.510833
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

This article presents an application of Phase Only Filter (POF) to the classification of volatile compound samples with chemical sensor arrays. Sinusoidal temperature modulator excites the chemical sensor array. A system composed of multiple sensors for data acquisition requires the analysis of multiple data signals in order to classify the input data. One such system is the Electronic Nose system (eNose). The eNose data is in fact 1D data from multiple data sources. In this work five samples of three different kinds of coffee are used to build an odor database. An unknown test sample is then classified. In this research data, from such system will be analyzed and classified using the POF and compared to the more conventional K Nearest Neighbors (KNN) classifier. Both classifiers use only the mean and standard deviation as the classification feature space. The difference of the correlation between odor database and the auto correlation of the test sample is the measure of closeness for the POF. For the KNN, the measure of closeness is the difference between the odor database and the test sample.

Citation Download Citation

Karl Solvi Gudmundsson, Abdul A. S. Awwal, and Ricardo Gutierrez-Osuna "Application of phase-only filter on electronic nose data", Proc. SPIE 5201, Photonic Devices and Algorithms for Computing V, (12 December 2003); https://doi.org/10.1117/12.510833

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